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CSC1030 Systems and Data Management Fundamentals

Semester 2, 2023 Online
Units : 1
School or Department : School of Mathematics, Physics & Computing
Grading basis : Graded
Course fee schedule : /current-students/administration/fees/fee-schedules

Staffing

Course Coordinator:

Overview

Many aspects of modern life are driven by data. Computing practitioners use systems of various types to manage data, both personal and professional. While ultimately the way in which increasingly large data sets are used is critical to society, this course examines the earlier prerequisite fundamentals of computer systems, data capture, data storage, and data manipulation. It builds foundational skills using state of the art systems and tools to prepare for continued studies and practices in information technology.

The course first looks at common computer systems, both physical and virtual, and both local and cloud-based. It then turns to the study of various perspectives on the properties of data, and two main ways of storing and retrieving data digitally: either as files, or in special purpose data stores. In both cases the range of formats and structures, as well as benefits and drawbacks are investigated. The course also discusses data backups, version control, and data integrity checking. Role-based practice of ethics and privacy are covered to build fundamental professional skills, and tools are introduced to support team collaboration. The course also introduces modern cloud-based practices.

Course learning outcomes

  1. Compare and contrast, and confidently utilise different types of computing resources, with a focus on virtual machines;
  2. Compare and contrast storing data in files and in special purpose data stores, both relational and non-relational, and competently choose and utilise tools to meet goals;
  3. Confidently utilise personal, shared, and cloud-based data storage, backup tools, and data integrity checks to carry out common data retrieval tasks in an efficient, safe, and ethical manner;
  4. Relate common roles in data management to the ACS Code of Ethics, and, being sensitive to risks around the use of information, apply software mechanisms such as role-based access control to enhance privacy and security;
  5. Employ basic version control software and workflows to support team-based collaboration.

Topics

Description Weighting(%)
1. Computer Systems and Virtualisation 20.00
2. Filesystems and Tools 15.00
3. Version Control 15.00
4. Ethics, Cultural expectations, and Data Privacy 10.00
5. Storage, Backups and Redundancy, Data Integrity 15.00
6. Data File Formats 15.00
7. Data Management Systems 10.00

Text and materials required to be purchased or accessed

There are no texts or materials required for this course.

Student workload expectations

To do well in this subject, students are expected to commit approximately 10 hours per week including class contact hours, independent study, and all assessment tasks. If you are undertaking additional activities, which may include placements and residential schools, the weekly workload hours may vary.

Assessment details

Approach Type Description Group
Assessment
Weighting (%) Course learning outcomes
Assignments Written Quiz No 10 1
Assignments Practical Tech and/or scntific artefact 1 No 25 1,2,3
Assignments Practical Tech and/or scntific artefact 2 No 25 1,2,3,4,5
Examinations Non-invigilated Time limited online examinatn No 40 1,2,3,4,5
Date printed 9 February 2024